The aim of this report is to provide all the necessary data required for a full calibration of the OLIVECAN model in a wide range of olive tree varieties, management practices and environmental conditions across Mediterranean region.
All partners provided all the necessary data to spatially identify current olive tree distribution across Mediterranean countries through pre-existing database. Partners provided data regarding main soil and climatic characteristics. Additionally, they included all the available data regarding the main management practices that are implemented in Cyprus, Italy, Spain and Greece. Data were qualitatively checked to produce homogeneous and reliable data. Furthermore, a standardized template was prepared regarding the description of experimental sites and the data needed (meteorological and climate data) for the calibration of OLIVE-CAN model and to reproduce suitable olive tree distribution using a statistical model (Random Forest) under current and future climate.
In this report olive tree distribution, soil characteristics (soil texture, organic carbon, pHorganic Carbon, pH, water storage capacity, soil depth, cation exchange capacity of the soil and the clay fraction, total exchangeable nutrients, lime and gypsum contents, sodium exchange percentage, salinity, textural class and granulometry), meteorological data (temperature, RH, percipitation) were down scaled to the to the 10×10 km grid covering the olive tree distribution, by using the overlay tools in a GIS environment. Management practices differs among countries and OLIVE-MIRACLE recorded average information collected from Italy, Spain, Greece and Cyprus. Finally the description of the experimental sites has been set and the climatic and meteorological data were collected. The data regarding the sites were substantially different among countries and are provided as metadata tables in the appendixes of the current report. spatial information (i.e. olive tree distribution, soil, climate and olive tree management) at a courser resolution (10×10 km).
The deliverable provided all the necessary dataset required for the OLIVECAN model spatially harmonized and integrated within a database. Through this deliverable we are able to identify and characterize representative olive systems macro-categories across the northern Mediterranean basin, aggregating relevant spatial information for the at a courser resolution (10×10 km) (D1.2).